Data Analytics and Human Centered Data

Using computational methods to transform both structured and unstructured data into actionable knowledge; and to understand and enable humans to explore and gain insight from vast data sets

Researchers Working in this Area

Related Research Projects

Analysis of Academic Activity Patterns in Academic Literature

Time frame
2017-2017
Investigators
Jana Diesner, Vetle Torvik
Total funding to date
$25,000.00
Funding agency
Korea Institute of Science and Technology Information

The project team will work on extracting key concepts from scholarly publications and explore techniques for building a taxonomy of extracted concepts by leveraging open knowledge bases (e.g., Wikipedia). The outcome of this process will be evaluated for various science and technology knowledge platform-based analysis services. The techniques, which reduce semantic ambiguity, will analyze…

Big Data-Theoretic Approach to Quantify Organizational Failure Mechanisms in Probabilistic Risk Assessment

Time frame
2015-Present
Investigators
Zahra Mohaghegh, Catherine Blake
Total funding to date
$899,663.00
Funding agency
National Science Foundation

Catastrophic events such as Fukushima and Katrina have made it clear that integrating physical and social causes of failure into a cohesive modeling framework is critical in order to prevent complex technological accidents and to maintain public safety and health. In this research, experts in Probabilistic Risk Assessment (PRA), Organizational Behavior and Information Science and Data…

CAREER: III: Modeling the Heterogeneity of Heterogeneity: Algorithms,Theories and Applications

Time frame
2019-Present
Investigator
Jingrui He
Total funding to date
$415,836.00
Funding agency
National Science Foundation

Nowadays, as an intrinsic property of big data, data heterogeneity can be seen in a variety of real world applications, ranging from security to manufacturing, from healthcare to crowdsourcing. Many high-impact data mining applications exhibit the co-existence of multiple types of heterogeneity, such as different classification tasks, different data sources, and different labeling oracles.…

modeling heterogeneity

Collaborative Research: Changes in Molecular Gas and Galaxy Properties Over Time in the Era of Integral Field Unit Surveys

Time frame
2016-Present
Investigator
Matthew Turk
Total funding to date
$267,664.00
Funding agency
National Science Foundation

Changes of a galaxy's properties over time are driven by the quantity of its cold gas, the raw material from which stars form. Thus, understanding the properties of a galaxy's cold gas component will tell us both how the star formation process changes over time and how this affects galaxies. Using a recently completed survey of carbon monoxide gas in a sample of nearby galaxies, the project…

galaxy

Collaborative Research: Accelerating Synthetic Biology Discovery & Exploration through Knowledge Integration

Time frame
2019-Present
Investigator
J. Stephen Downie
Total funding to date
$211,699.00
Funding agency
National Science Foundation

The scientific challenge for this project is to accelerate discovery and exploration of the synthetic biology design space. In particular, many parts used in synthetic biology come from or are initially tested in a simple bacteria, E. coli, but many potential applications in energy, agriculture, materials, and health require either different bacteria or higher level organisms (yeast for…

synthetic biology

Collaborative Research: S12-SSI: Inquiry-Focused Volumetric Data Analysis Across Scientific Domains: Sustaining and Expanding the yt Community

Time frame
2017-Present
Investigator
Matthew Turk
Total funding to date
$1,061,721.00
Funding agency
National Science Foundation

Scientific discovery across the physical sciences is increasingly dependent on the analysis of volumetric - or three-dimensional - data, that may come from a supercomputer simulation, direct measurement, or mathematical models. Researchers typically seek to extract meaningful insights from this data by visualizing and analyzing it in various ways. The ways in which scientists process…

yt project

Impact of Data Quality and Provenance

Time frame
2014-2017
Investigator
Jana Diesner
Total funding to date
$130,475.00
Funding agency
Korea Institute of Science and Technology Information

How do limitations and intransparencies in data quality and data provenance bias research outcomes, and how can we detect and mitigate these limitations? For example, we have been investigating the impact of entity resolution errors on network analysis results. We found that commonly reported network metrics and derived implications can strongly deviate from the truth—as established based on…

Improving Patient Outcomes by Listening to Their Social Media Communications

Time frame
2017-2019
Investigator
Ian Brooks
Total funding to date
$15,000.00
Funding agency
Homecare Education Advocacy & Resource Team Support

It is difficult to understand the effectiveness of various treatment options when a huge number of external factors such as lifestyle, diet, and environment affect the burden of a disease. A major barrier to understanding is the challenge of scale—sampling enough patients to separate the major, minor, and negligible factors. With access to a database of more than one trillion public social…

social media icons

INDICATOR: An Information System for Monitoring the Health of a Community

Time frame
2007-2011
Investigator
Ian Brooks
Total funding to date
$300,723.00
Funding agency
Centers for Disease Control and Prevention, U.S. Department of Agriculture, Carle Foundation

INDICATOR is a novel information system for collecting, integrating, and analyzing data from multiple sources to provide public health decision makers real-time data on the health of their community. Data comes from sources as varied as emergency department visits, school attendance, veterinary clinics, and social media postings and together have been used to change public policy in outbreak…

INDICATOR

National Forum Data Mining Research Using In Copyright and Limited Access Text Datasets Shaping a Research and Implementation Agenda for Researchers Libraries and Content Providers

Time frame
2017-2019
Investigator
Bertram Ludäscher
Total funding to date
$99,536.00
Funding agency
Institute of Museum and Library Services

Copyright law and resource licensing complicate the application of text data mining for research. This project convened a National Forum on Text Data Mining with Use-Limited Data in April 2018 that brought together 25 leading stakeholders selected among researchers, librarians, content providers, legal experts, and representatives of scholarly societies to articulate an agenda that provides…

text mining icon

Related News Articles